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Achieving big data privacy in education
Theory and Research in Education Pub Date : 2018-10-19 , DOI: 10.1177/1477878518805308
Joel R. Reidenberg 1 , Florian Schaub 2
Affiliation  

Education, Big Data, and student privacy are a combustible mix. The improvement of education and the protection of student privacy are key societal values. Big Data and Learning Analytics offer the promise of unlocking insights to improving education through large-scale empirical analysis of data generated from student information and student interactions with educational technology tools. This article explores how learning technologies also create ethical tensions between privacy and the use of Big Data for educational improvement. We argue for the need to demonstrate the efficacy of learning systems while respecting privacy and how to build accountability and oversight into learning technologies. We conclude with policy recommendations to achieve these goals.

中文翻译:

在教育中实现大数据隐私

教育、大数据和学生隐私是一个可燃的组合。改善教育和保护学生隐私是关键的社会价值观。大数据和学习分析提供了通过对学生信息和学生与教育技术工具互动产生的数据进行大规模实证分析来解锁改善教育的见解。本文探讨了学习技术如何在隐私与大数据用于教育改进之间造成伦理紧张。我们主张需要在尊重隐私的同时证明学习系统的有效性,以及如何在学习技术中建立问责制和监督。我们最后提出了实现这些目标的政策建议。
更新日期:2018-10-19
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